2023
DOI: 10.3390/jof9020184
|View full text |Cite
|
Sign up to set email alerts
|

Re-Evaluating Botryosphaeriales: Ancestral State Reconstructions of Selected Characters and Evolution of Nutritional Modes

Abstract: Botryosphaeriales (Dothideomycetes, Ascomycota) occur in a wide range of habitats as endophytes, saprobes, and pathogens. The order Botryosphaeriales has not been subjected to evaluation since 2019 by Phillips and co-authors using phylogenetic and evolutionary analyses. Subsequently, many studies introduced novel taxa into the order and revised several families separately. In addition, no ancestral character studies have been conducted for this order. Therefore, in this study, we re-evaluated the character evo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 12 publications
(7 citation statements)
references
References 246 publications
0
7
0
Order By: Relevance
“… aplosporum and Ph. rhoinum are both pathogenic ( Rathnayaka et al 2023 ). The phylogenetic state analysis of the trophic pattern, conidial colour, and separation of Botryosphaeriales conducted by Rathnayaka et al (2023) indicate that this may correspond to nutritional mode.…”
Section: Discussionmentioning
confidence: 99%
“… aplosporum and Ph. rhoinum are both pathogenic ( Rathnayaka et al 2023 ). The phylogenetic state analysis of the trophic pattern, conidial colour, and separation of Botryosphaeriales conducted by Rathnayaka et al (2023) indicate that this may correspond to nutritional mode.…”
Section: Discussionmentioning
confidence: 99%
“…Similarly, the neighborhood joining (NJ) method, which is computationally efficient for handling massive datasets, generates a phylogenetic tree from the distance matrix of the mutual dissimilarities among the sequences [49,50]. On the other hand, ML predicts the evolutionary tree with the highest likelihood score to explain the given sequence data, assuming a probabilistic model of sequence evolution [50][51][52]. Due to its simplicity, MP is only effective for smaller sequence datasets, evolving under a very simple evolutionary model, and does not consider the variance in substitution rates across different sites.…”
Section: Evolutionary Analysis For Three Datasetsmentioning
confidence: 99%
“…Lactophenol and blue cotton staining solutions were used for the purposes of microscopic examination and evaluation of fungal spores without hyaline pigment, focusing on features such as shape, color, isolation and the presence or absence of specialized appendages on the spores [20,21].…”
Section: Microscopic Examinationmentioning
confidence: 99%